# Voice Recognition MCP Service

> Use this tool when you need to transcribe audio files or base64 encoded data into text, extracting valuable insights such as language, emotion, and speaker information. It solves problems related to voice-driven interfaces, audio data analysis, and speech-to-text processing. The service accepts audio files or base64 encoded data as input and returns structured results, making it ideal for applications requiring accurate voice recognition and text extraction capabilities.

Canonical page: https://skillsregistry.net/skills/yangsenessa-mcp-voice-identify  
JSON: https://api.skillsregistry.net/v1/skills/yangsenessa-mcp-voice-identify

## Description

Provides voice recognition and text extraction capabilities with support for both stdio and MCP modes, processing audio files or base64 encoded data and returning structured results with language, emotion, and speaker information.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a0zdhqjmx3)
- **Repository:** <https://github.com/yangsenessa/mcp_voice_identify>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "yangsenessa-mcp-voice-identify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yangsenessa-mcp-voice-identify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yangsenessa-mcp-voice-identify/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt